Parsimonious Deep Learning: A Differential Inclusion Approach with Global Convergence. - Yanwei Fu 001; Chen Liu 030; Donghao Li; Xinwei Sun 001; Jinshan Zeng; Yuan Yao 011 (CoRR, 2019)

An Embarrassingly Simple Baseline to One-shot Learning. - Chen Liu 030; Chengming Xu 001; Yikai Wang 002; Li Zhang 040; Yanwei Fu 001 (CVPR Workshops, 2020)

Instance Credibility Inference for Few-Shot Learning. - Yikai Wang 002; Chengming Xu 001; Chen Liu 030; Li Zhang 040; Yanwei Fu 001 (CVPR, 2020)

DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. - Yanwei Fu 001; Chen Liu 030; Donghao Li; Xinwei Sun 001; Jinshan Zeng; Yuan Yao 011 (ICML, 2020)

Learning a Few-shot Embedding Model with Contrastive Learning. - Chen Liu 030; Yanwei Fu 001; Chengming Xu 001; Siqian Yang; Jilin Li; Chengjie Wang; Li Zhang 040 (AAAI, 2021)

Adaptive End-to-End Budgeted Network Learning via Inverse Scale Space. - Zuyuan Zhong; Chen Liu 030; Yanwei Fu 001 (BMVC, 2021)

Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning. - Chengming Xu 001; Yanwei Fu 001; Chen Liu 030; Chengjie Wang; Jilin Li; Feiyue Huang; Li Zhang 040; Xiangyang Xue 001 (CVPR, 2021)

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning. - Chengming Xu 001; Chen Liu 030; Siqian Yang; Yabiao Wang; Shijie Zhang; Lijie Jia; Yanwei Fu 001 (ACM Multimedia, 2022)

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. - Yong Lin; Chen Liu 030; Chenlu Ye; Qing Lian; Yuan Yao 011; Tong Zhang 001 (CoRR, 2023)

Exploring Structural Sparsity of Deep Networks Via Inverse Scale Spaces. - Yanwei Fu 001; Chen Liu 030; Donghao Li; Zuyuan Zhong; Xinwei Sun 001; Jinshan Zeng; Yuan Yao 011 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

PatchMix Augmentation to Identify Causal Features in Few-Shot Learning. - Chengming Xu 001; Chen Liu 030; Xinwei Sun 001; Siqian Yang; Yabiao Wang; Chengjie Wang; Yanwei Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Towards Global Optimal Visual In-Context Learning Prompt Selection. - Chengming Xu 001; Chen Liu 030; Yikai Wang 002; Yuan Yao 011; Yanwei Fu 001 (NeurIPS, 2024)

A Generalization Theory of Cross-Modality Distillation with Contrastive Learning. - Hangyu Lin; Chen Liu 030; Chengming Xu 001; Zhengqi Gao; Yanwei Fu 001; Yuan Yao 011 (CoRR, 2024)

Towards Global Optimal Visual In-Context Learning Prompt Selection. - Chengming Xu 001; Chen Liu 030; Yikai Wang 002; Yanwei Fu 001 (CoRR, 2024)

When Preferences Diverge: Aligning Diffusion Models with Minority-Aware Adaptive DPO. - Lingfan Zhang; Chen Liu 030; Chengming Xu 001; Kai Hu; Donghao Luo 001; Chengjie Wang; Yanwei Fu 001; Yuan Yao 011 (CoRR, 2025)